A common objective of fMRI (functional magnetic resonance imaging) studies is to determine subject-specific areas of increased blood oxygenation level dependent (BOLD) signal contrast in response to a stimulus or task, and hence to infer regional neuronal activity. We posit and investigate a Bayesian approach that incorporates spatial and temporal… (More)
Figure 1: Activation maps for the time-invarying model in the third trial using an MA(1) temporal correlation. The top panel is activation maps when performing " Ink Only " task, the middle one for " Congruence " task, and bottom one for " Interference " task.
We propose a Bayesian method for variable selection in the finite mixture model of linear regressions. The model assumes that the observations come from a heterogeneous population which is a mixture of a finite number of sub-populations. Within each sub-population, the response variable can be explained by a linear regression on the predictor variables. So… (More)
One of the major objectives of functional magnetic resonance imaging studies is to infer regional neuronal activity in response to a stimulus or task. We consider a Bayesian approach which incorporates spatial and temporal dependence and allows for the task-related response to change dynamically over the scanning session.